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      일반대학 교양과목에서 수행되는 이러닝에 대한 대학생의 수강의도에 영향을 미치는 요인 = Exploring Factors Influencing College Students` Behavior Intention of e-learning in Liberal Arts

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      https://www.riss.kr/link?id=A99970400

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      다국어 초록 (Multilingual Abstract)

      The purpose of this study is to verify college students`` behavior intention to use online courses in Liberal Arts, based on the variables from Social Cognitive Theory(SCT), the Unified Theory of Acceptance and Use of Technology(UTAUT), and Theory of Planed Behavior(TPB). In this study, online courses self-Efficacy, effort expectancy, performance expectancy, social norm, and perceived behavioral control were considered as the exogenous variables, learner`s gender, grade, age, the total number of previous online courses that learner have already taken, the total number of connections(per semester), the total number of connections(per semester), and a total of access time(per semester) were considered as the moderating variables, and behavior intention to use online courses was considered as the dependent variable. To pursue the purpose of this study, data were collected by letting students who took the e-learning college liberal arts in A University, a total of 196 questionnaires were analyzed using the structural equation modeling method. The result of this study indicated three major findings. ① direct effect between performance expectancy, social norm and behavior intention, ② no direct effect between online courses self-Efficacy, effort expectancy, perceived behavioral control and behavior intention. ③ moderating effect of background variables. Based on the results of the study, theoretical and practical implications for e-learning in liberal arts are being discussed
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      The purpose of this study is to verify college students`` behavior intention to use online courses in Liberal Arts, based on the variables from Social Cognitive Theory(SCT), the Unified Theory of Acceptance and Use of Technology(UTAUT), and Theory of ...

      The purpose of this study is to verify college students`` behavior intention to use online courses in Liberal Arts, based on the variables from Social Cognitive Theory(SCT), the Unified Theory of Acceptance and Use of Technology(UTAUT), and Theory of Planed Behavior(TPB). In this study, online courses self-Efficacy, effort expectancy, performance expectancy, social norm, and perceived behavioral control were considered as the exogenous variables, learner`s gender, grade, age, the total number of previous online courses that learner have already taken, the total number of connections(per semester), the total number of connections(per semester), and a total of access time(per semester) were considered as the moderating variables, and behavior intention to use online courses was considered as the dependent variable. To pursue the purpose of this study, data were collected by letting students who took the e-learning college liberal arts in A University, a total of 196 questionnaires were analyzed using the structural equation modeling method. The result of this study indicated three major findings. ① direct effect between performance expectancy, social norm and behavior intention, ② no direct effect between online courses self-Efficacy, effort expectancy, perceived behavioral control and behavior intention. ③ moderating effect of background variables. Based on the results of the study, theoretical and practical implications for e-learning in liberal arts are being discussed

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      참고문헌 (Reference)

      1 박인우, "오프라인 대학의 온라인 교육 질 관리" 고등교육정책연구소 2013

      2 송병호, "대학 이러닝 교양강좌의 학습자 만족도 및 효과성에 관한 연구" 한국교육공학회 29 (29): 241-261, 2013

      3 정한호, "교사의 멀티미디어 교수자료 사용 의도에영향을 미치는 요인 연구 -기술수용모형을 중심으로-" 한국교육과정평가원 15 (15): 157-186, 2012

      4 박인우, "고등교육 교육과정 지원체제 방안 연구" 교육과학기술부 2012

      5 Anderson, N., "‘Because it’s boring, irrelevant and I don’t like computers’ : Why high school girls avoid professionally-oriented ICT subjects" 50 (50): 1304-1318, 2008

      6 Sun, P., "What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction" 50 : 1183-1202, 2008

      7 Sanchez-Franco, M. J., "WebCT-the quasimoderating effect of perceived affective quality on an extending technology acceptance model" 54 (54): 37-46, 2010

      8 Shih, H., "Using a cognitive-motivation-control view to assess the adoption intention for Web based learning" 50 (50): 327-337, 2008

      9 Venkatesh, V., "User acceptance of formation technology: toward a unified view" 27 (27): 425-478, 2003

      10 Lau, S. H., "Understanding learner acceptance of learning objects : The roles of learning object characteristics and individual differences" 40 (40): 1059-1075, 2009

      1 박인우, "오프라인 대학의 온라인 교육 질 관리" 고등교육정책연구소 2013

      2 송병호, "대학 이러닝 교양강좌의 학습자 만족도 및 효과성에 관한 연구" 한국교육공학회 29 (29): 241-261, 2013

      3 정한호, "교사의 멀티미디어 교수자료 사용 의도에영향을 미치는 요인 연구 -기술수용모형을 중심으로-" 한국교육과정평가원 15 (15): 157-186, 2012

      4 박인우, "고등교육 교육과정 지원체제 방안 연구" 교육과학기술부 2012

      5 Anderson, N., "‘Because it’s boring, irrelevant and I don’t like computers’ : Why high school girls avoid professionally-oriented ICT subjects" 50 (50): 1304-1318, 2008

      6 Sun, P., "What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction" 50 : 1183-1202, 2008

      7 Sanchez-Franco, M. J., "WebCT-the quasimoderating effect of perceived affective quality on an extending technology acceptance model" 54 (54): 37-46, 2010

      8 Shih, H., "Using a cognitive-motivation-control view to assess the adoption intention for Web based learning" 50 (50): 327-337, 2008

      9 Venkatesh, V., "User acceptance of formation technology: toward a unified view" 27 (27): 425-478, 2003

      10 Lau, S. H., "Understanding learner acceptance of learning objects : The roles of learning object characteristics and individual differences" 40 (40): 1059-1075, 2009

      11 Taylor, S., "Understanding information technology usage : A test of competing models" 6 (6): 144-176, 1995

      12 Bhattacherjee, A., "Understanding information systems continuance : an expectation-confirmation model" 25 : 351-370, 2001

      13 Barak, M., "Transition from traditional to ICT-enhanced learning environments in undergraduate chemistry courses" 48 (48): 30-43, 2007

      14 Ajzen, I., "The theory of planned behavior" 50 (50): 179-211, 1991

      15 Liao, H., "The role of experience and innovation characteristics in the adoption and continued use of e-learning websites" 51 : 1405-1416, 2008

      16 Anderson, J. C., "Structural equation modelling in practice. A review and recommended two-step approach" 103 (103): 411-423, 1988

      17 Segars, A. H., "Strategic information systems planning success : An investigation of the construct and its measurement" 22 (22): 139-163, 1998

      18 Bandura, A., "Social foundations of thought and action: a social cognitive theory" Prentice-Hall 1986

      19 Compeau, D. R., "Social cognitive theory and individual reactions to computing technology : A longitudinal study" 23 (23): 145-158, 1999

      20 Armitage, C. J., "Social cognitive determinants of blood donation" 31 : 1431-1457, 2001

      21 Bandura, A., "Self-efficacy: Thought control of action" Hemisphere 355-394, 1992

      22 Joo, Y. J., "Self-efficacy for self-regulated learning, academic self-efficacy, and Internet self-efficacy in webbased instruction" 48 (48): 5-17, 2000

      23 De Vries, H., "Self efficacy : The third factor besides attitudes and subjective norm as a predictor of behavioral intentions" 3 : 273-282, 1988

      24 Goh, T. T., "SMS-based library catalogue system : A preliminary investigation of user acceptance" 27 (27): 394-408, 2009

      25 Wang, A. Y., "Predictors of web-student performance : the role of self-efficacy and reasons for taking an on-line class" 18 : 151-163, 2002

      26 Vijayasarathy, L. R., "Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model" 41 : 747-762, 2004

      27 Davis, F. D., "Perceived usefulness, perceived ease of use and user acceptance of information technologies" 13 (13): 319-340, 1989

      28 Ajzen, I., "Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior" 32 : 665-683, 2002

      29 Sánchez, R. A., "Motivational factors that influence the acceptance of Moodle using TAM" 26 (26): 1632-1640, 2010

      30 Lee, B. C., "Learners’ acceptance of e-learning in South Korea: theories and results" 53 (53): 1-44, 2009

      31 Liaw, S. S., "Investigating students’ perceived satisfaction, behavioral intention, and effectiveness of e-learning : a case study of the Blackboard system" 51 (51): 864-873, 2008

      32 Moss, G, "Gender differences in website production and preference aesthetics : preliminary implications for ICT in education and beyond" 28 (28): 1362-3001, 2009

      33 Fornell, C., "Evaluating structural equation models with unobservable and measurement error" 18 : 39-50, 1981

      34 Ngai, E. W. T., "Empirical examination of the adoption of WebCT using TAM" 48 (48): 250-267, 2007

      35 Khan, B., "Elements of e-learning"

      36 Giannakos, M. N, "Educational webcasts’ acceptance : empirical examination and the role of experience" 44 (44): 125-143, 2013

      37 Bentler, P. M., "EQS structural equations program manual" BMDP 1989

      38 Maldonado, U. P. T., "E-learning motivation, students’acceptance/use of educational portal in developing countries: a case study of Peru" 1431-1441, 2009

      39 Manstead, A. S. R., "Distinguishing between perceived behavioral control and self-efficacy in the domain of academic achievement intentions and behaviors" 28 : 1375-1392, 1998

      40 Jung, Y., "Consumer adoption of mobile TV : examining psychological flow and media content" 25 (25): 123-129, 2009

      41 Compeau, D. R., "Computer self-efficacy : development of a measure and initial test" 19 (19): 189-211, 1995

      42 Taylor, S., "Assessing IT usage: The role of prior experience" 19 (19): 561-570, 1995

      43 Chang, S. C., "An empirical investigation of students' behavioural intentions to use the online learning course websites" 39 (39): 71-83, 2008

      44 Ajzen, I., "Action control: from cognition to behavior" Springer 11-39, 1985

      45 Hsu, C. L., "Acceptance of blog usage : the roles of technology acceptance, social influence and knowledge sharing motivation" 45 (45): 65-74, 2008

      46 지식경제부, "2012년 이러닝산업 실태조사" 2012

      47 산업통상자원부, "2011-2012 이러닝백서" 2013

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      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-04-20 학회명변경 영문명 : Korea Association Of Educational Information & Broadcasting -> Korea Association for Educational Information and Media KCI등재
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
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      2003-01-01 평가 등재후보 1차 FAIL (등재후보1차) KCI등재후보
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